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A Spiking Neural Network Framework for Robust Sound Classification
2018
Frontiers in Neuroscience
Environmental sounds form part of our daily life. With the advancement of deep learning models and the abundance of training data, the performance of automatic sound classification (ASC) systems has improved significantly in recent years. However, the high computational cost, hence high power consumption, remains a major hurdle for large-scale implementation of ASC systems on mobile and wearable devices. Motivated by the observations that humans are highly effective and consume little power
doi:10.3389/fnins.2018.00836
pmid:30510500
pmcid:PMC6252336
fatcat:ewolau63gnhsjgo4wvnuno77ha